Triple
T17602787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of the Peloponnese |
E428744
|
entity |
| Predicate | hasDepartment |
P35
|
FINISHED |
| Object | Department of Digital Systems |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Department of Digital Systems | Statement: [University of the Peloponnese, hasDepartment, Department of Digital Systems]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Department of Digital Systems Context triple: [University of the Peloponnese, hasDepartment, Department of Digital Systems]
-
A.
Department of Digitalization
The Department of Digitalization is an academic unit at Copenhagen Business School focused on research and education in digital technologies, information systems, and their impact on organizations and society.
-
B.
Department of Information Systems
The Department of Information Systems is an academic unit at the University of Swaziland’s Faculty of Commerce that focuses on the study and application of information technology in organizational and business contexts.
-
C.
Directorate for Digital
The Directorate for Digital is a division of the Scottish Government responsible for leading national digital strategy, services, and transformation across the public sector.
-
D.
Department of Information Technology
The Department of Information Technology is an academic unit at Mandalay Technological University focused on education and research in computing and information technologies.
-
E.
Department of Information Technology
The Department of Information Technology is an academic unit of Dharamsinh Desai University that focuses on education and research in information technology and related computing fields.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Department of Digital Systems Target entity description: The Department of Digital Systems is an academic unit at the University of the Peloponnese focused on education and research in digital technologies, information systems, and related fields.
-
A.
Department of Digitalization
The Department of Digitalization is an academic unit at Copenhagen Business School focused on research and education in digital technologies, information systems, and their impact on organizations and society.
-
B.
Department of Information Systems
The Department of Information Systems is an academic unit at the University of Swaziland’s Faculty of Commerce that focuses on the study and application of information technology in organizational and business contexts.
-
C.
Directorate for Digital
The Directorate for Digital is a division of the Scottish Government responsible for leading national digital strategy, services, and transformation across the public sector.
-
D.
Department of Information Technology
The Department of Information Technology is an academic unit at Volgograd State Technical University specializing in education and research in computing and information technologies.
-
E.
Department of Information Technology
The Department of Information Technology is an academic unit at Mandalay Technological University focused on education and research in computing and information technologies.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889e1c6148190ba76241e74688f8b |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46c49dbe081909bd39879c70fe27c |
completed | April 19, 2026, 5:46 a.m. |
Created at: April 10, 2026, 5:51 a.m.